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In this paper we review the acoustic features used for music-to-score alignment and study their influence on the performance in a challenging alignment task, where the audio data is polyphonic and may contain percussion. Furthermore, as we aim at using "real world" scores, we follow an approach which does exploit the rhythm information (considered unreliable) and test its robustness to score errors. We use a unified framework to handle different state-of-the-art features, and propose a simpledoi:10.1109/icassp.2010.5495784 dblp:conf/icassp/JoderER10 fatcat:bgb3p6vufzhvbgbyojom3p3idq